Lindelöf Representations and (Non-)Holonomic Sequences
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Algorithmic Manipulations and Transformations of Univariate Holonomic Functions and Sequences
Algorithmic Manipulations and Transformations of Univariate Holonomic Functions and Sequences Diplomarbeit zur Erlangung des akademischen Grades “Diplom-Ingenieur” in der Studienrichtung Technische Mathematik Verfaßt von Christian Mallinger Angefertigt am Institut fur¨ Mathematik der Technisch-Naturwissenschaftlichen Fakult¨at an der Johannes Kepler Universit¨at Linz Eingereicht bei o.Univ.-Prof. Dr. Bruno Buchberger Betreut durch Univ.Ass. Dr. Peter Paule RISC-Linz, August 1996 i Abstract Holonomic functions and sequences have the property that they can be represented by a finite amount of information. Moreover, these holonomic objects are closed under elementary operations like, for instance, addition or (termwise and Cauchy) multipli- cation. These (and other) operations can also be performed “algorithmically”. As a consequence, we can prove any identity of holonomic functions or sequences automati- cally. Based on this theory, the author implemented a package that contains procedures for automatic manipulations and transformations of univariate holonomic functions and sequences within the computer algebra system Mathematica . This package is introduced in detail. In addition, we describe some different techniques for proving holonomic iden- tities. Zusammenfassung Holonomische Funktionen und Folgen haben die Eigenschaft, daß sie durch eine endliche Menge an Information dargestellt werden k¨onnen. Daruberhinaus¨ sind diese holonomi- schen Objekte unter elementaren Operationen wie z. B. Addition oder (gliedweise und Cauchy-) Multiplikation abgeschlossen. Diese (und andere) Operationen k¨onnen auch algorithmisch“ durchgefuhrt¨ werden. Als Konsequenz daraus, kann man jede Identit¨at ” holonomischer Folgen und Reihen automatisch beweisen. Basierend auf diese Theorie implementierte der Autor ein Programmpaket, das Prozeduren zum automatischen Mani- pulieren und Transformieren univariater holonomischer Funktionen und Folgen innerhalb von Mathematica enth¨alt. -
Derivation: the Volume of a D-Dimensional Hypershell
Derivation: the volume of a D‐dimensional hypershell Phys 427 Yann Chemla Sept. 1, 2011 In class we worked out the multiplicity of an ideal gas by summing over volume elements in k‐space (each of which contains one quantum state) that have energy E. We showed that the surface of states that have energy E is a hypershell of radius k in D‐dimensions where . Integrating in D‐dimensions in Cartesian coordinates is easy, but how do you integrate over a hypershell in D‐ dimensions? We used dimensional arguments in class to relate a volume of k‐space in Cartesian vs. hyperspherical coordinates: Ω where Ω is the solid angle subtended by the hypershell. If we integrate over all D‐dimensional space in Cartesian vs. hyperspherical coordinates, we should get the same answer: where we integrated over the solid angle to obtain the factor gD. We would like to determine gD. The above formula is not very useful in that respect because both sides are infinite. What we want is a function that can be integrated over all of D‐dimensional space in both Cartesian and hyperspherical coordinates and give a finite answer. A Gaussian function over k1 ... kD will do the trick. We can write: where we wrote the Gaussian in terms of k on the right side of the equation. Let’s look at the left side of the equation first. The integral can be written in terms of the product of D identical 1‐dimensional integrals: / where we evaluated the Gaussian integral in the last step (look up Kittel & Kroemer Appendix A for help on evaluating Gaussian integrals). -
D-Modules and Holonomic Functions
D-Modules and Holonomic Functions Anna-Laura Sattelberger and Bernd Sturmfels Abstract In algebraic geometry one studies the solutions of polynomial equations. This is equiv- alent to studying solutions of linear partial differential equations with constant coef- ficients. These lectures address the more general case when the coefficients are poly- nomials. The letter D stands for the Weyl algebra, and a D-module is a left module over D. We focus on left ideals, or D-ideals. These are equations whose solutions we care about. We represent functions in several variables by the differential equations they satisfy. Holonomic functions form a comprehensive class with excellent algebraic properties. They are encoded by holonomic D-modules, and they are useful for many problems, e.g. in geometry, physics and statistics. We explain how to work with holo- nomic functions. Applications include volume computation and likelihood inference. Introduction This article represents the notes for the three lectures delivered by the second author at the Math+ Fall School in Algebraic Geometry, held at FU Berlin from September 30 to October 4, 2019. The aim is to give an introduction to D-modules and their use for concrete problems in applied algebraic geometry. This centers around the concept of a holonomic function in several variables. Such a function is among the solutions to a system of lin- ear partial differential equations whose solution space is finite-dimensional. Our algebraic representation as a D-ideal allows us to perform many operations with such objects. The three lectures form the three sections of this article. In the first lecture we introduce the basic tools. -
The Amazing Poisson Calculation: a Method Or a Trick?
The amazing Poisson calculation: a method or a trick? Denis Bell April 27, 2017 The Gaussian integral and Poisson's calculation The Gaussian function e−x2 plays a central role in probability and statistics. For this reason, it is important to know the value of the integral 1 Z 2 I = e−x dx: 0 The function e−x2 does not have an elementary antiderivative, so I cannot be evaluated by the FTC. There is the following argument, attributed to Poisson, for calculating I . Consider 1 1 Z 2 Z 2 I 2 = e−x dx · e−y dy: 0 0 Interpret this product as a double integral in the plane and transform to polar coordinates x = r cos θ; y = r sin θ to get 1 1 Z Z 2 2 I 2 = e−(x +y )dxdy 0 0 π=2 1 Z Z 2 = e−r r drdθ 0 0 1 π Z d 2 π = − e−r dr = : 4 0 dr 4 p π Thus I = 2 . Can this argument be used to evaluate other seemingly intractable improper integrals? Consider the integral Z 1 J = f (x)dx: 0 Proceeding as above, we obtain Z 1 Z 1 J2 = f (x)f (y) dxdy: 0 0 In order to take the argument further, there will need to exist functions g and h such that f (x)f (y) = g(x2 + y 2)h(y=x): Transformation to polar coordinates and the substitution u = r 2 will then yield 1 Z 1 Z π=2 J2 = g(u)du h(tan θ)dθ: (1) 2 0 0 Which functions f satisfy f (x)f (y) = g(x2 + y 2)h(y=x) (2) Theorem Suppose f : (0; 1) 7! R satisfies (2) and assume f is non-zero on a set of positive Lebesgue measure, and the discontinuity set of f is not dense in (0; 1). -
Contents 1 Gaussian Integrals ...1 1.1
Contents 1 Gaussian integrals . 1 1.1 Generating function . 1 1.2 Gaussian expectation values. Wick's theorem . 2 1.3 Perturbed gaussian measure. Connected contributions . 6 1.4 Expectation values. Generating function. Cumulants . 9 1.5 Steepest descent method . 12 1.6 Steepest descent method: Several variables, generating functions . 18 1.7 Gaussian integrals: Complex matrices . 20 Exercises . 23 2 Path integrals in quantum mechanics . 27 2.1 Local markovian processes . 28 2.2 Solution of the evolution equation for short times . 31 2.3 Path integral representation . 34 2.4 Explicit calculation: gaussian path integrals . 38 2.5 Correlation functions: generating functional . 41 2.6 General gaussian path integral and correlation functions . 44 2.7 Harmonic oscillator: the partition function . 48 2.8 Perturbed harmonic oscillator . 52 2.9 Perturbative expansion in powers of ~ . 54 2.10 Semi-classical expansion . 55 Exercises . 59 3 Partition function and spectrum . 63 3.1 Perturbative calculation . 63 3.2 Semi-classical or WKB expansion . 66 3.3 Path integral and variational principle . 73 3.4 O(N) symmetric quartic potential for N . 75 ! 1 3.5 Operator determinants . 84 3.6 Hamiltonian: structure of the ground state . 85 Exercises . 87 4 Classical and quantum statistical physics . 91 4.1 Classical partition function. Transfer matrix . 91 4.2 Correlation functions . 94 xii Contents 4.3 Classical model at low temperature: an example . 97 4.4 Continuum limit and path integral . 98 4.5 The two-point function: perturbative expansion, spectral representation 102 4.6 Operator formalism. Time-ordered products . 105 Exercises . 107 5 Path integrals and quantization . -
Holonomic Functions of Several Complex Variables and Singularities of Anisotropic Ising N-Fold Integrals
Home Search Collections Journals About Contact us My IOPscience Holonomic functions of several complex variables and singularities of anisotropic Ising n-fold integrals This content has been downloaded from IOPscience. Please scroll down to see the full text. 2012 J. Phys. A: Math. Theor. 45 494010 (http://iopscience.iop.org/1751-8121/45/49/494010) View the table of contents for this issue, or go to the journal homepage for more Download details: This content was downloaded by: jmmaillard IP Address: 134.157.8.77 This content was downloaded on 30/09/2015 at 17:05 Please note that terms and conditions apply. IOP PUBLISHING JOURNAL OF PHYSICS A: MATHEMATICAL AND THEORETICAL J. Phys. A: Math. Theor. 45 (2012) 494010 (33pp) doi:10.1088/1751-8113/45/49/494010 Holonomic functions of several complex variables and singularities of anisotropic Ising n-fold integrals S Boukraa1, S Hassani2 and J-M Maillard3 1 LPTHIRM and Departement´ d’Aeronautique,´ Universite´ de Blida, Algeria 2 Centre de Recherche Nucleaire´ d’Alger, 2 Bd Frantz Fanon, BP 399, 16000 Alger, Algeria 3 LPTMC, UMR 7600 CNRS, Universite´ de Paris 6, Tour 23, 5eme` etage,´ case 121, 4 Place Jussieu, F-75252 Paris Cedex 05, France E-mail: [email protected] Received 6 July 2012, in final form 8 October 2012 Published 27 November 2012 Online at stacks.iop.org/JPhysA/45/494010 Abstract Focusing on examples associated with holonomic functions, we try to bring new ideas on how to look at phase transitions, for which the critical manifolds are not points but curves depending on a spectral variable, or even fill higher dimensional submanifolds. -
Proof of the Wilf–Zeilberger Conjecture
www.oeaw.ac.at Proof of the Wilf–Zeilberger Conjecture S. Chen, C. Koutschan RICAM-Report 2015-15 www.ricam.oeaw.ac.at Proof of the Wilf{Zeilberger Conjecture Shaoshi Chena, Christoph Koutschanb aKey Laboratory of Mathematics Mechanization, AMSS Chinese Academy of Sciences, 100190 Beijing, China bJohann Radon Institute for Computational and Applied Mathematics (RICAM) Austrian Academy of Sciences, Altenberger Straße 69, A-4040 Linz, Austria Abstract In 1992, Wilf and Zeilberger conjectured that a hypergeometric term in several discrete and continuous variables is holonomic if and only if it is proper. Strictly speaking the conjecture does not hold, but it is true when reformulated properly: Payne proved a piecewise interpretation in 1997, and independently, Abramov and Petkovˇsekin 2002 proved a conjugate interpretation. Both results address the pure discrete case of the conjecture. In this paper we extend their work to hypergeometric terms in several discrete and continuous variables and prove the conjugate interpretation of the Wilf{Zeilberger conjecture in this mixed setting. Keywords: Wilf{Zeilberger Conjecture, hypergeometric term, properness, holonomic function, D-finite function, Ore-Sato Theorem 1. Introduction The method of creative telescoping was put on an algorithmic fundament by Zeilberger [1, 2] in the early 1990's, and it has been a powerful tool in the study of special function identities since then. Zeilberger's algorithms (for binomial / hypergeometric sums and for hyperexponential integrals) terminate for holonomic inputs. The holonomicity of functions is defined in terms of the dimension of their annihilating ideals; in general, it is difficult to detect this property. In 1992, Wilf and Zeilberger [3] gave a more elegant and constructive proof that their methods are applicable to so-called proper hypergeometric terms, which are expressed in an explicit form. -
Nadakuditi Thesis (2.238Mb)
Applied Stochastic Eigen-Analysis by Rajesh Rao Nadakuditi B.S., Electrical Engineering, Lafayette College (1999) S.M., Electrical Engineering and Computer Science, M.LT. and W.H.O.L (2002) Submitted to the Department of Electrical Engineering and Computer Science & the Joint Program in Applied Ocean Science and Engineering . in partial fulfillment of the requirements for the degree of Doctor of Philosophy at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY and the / WOODS HOLE OCEANOGRAPHIC INSTITUTION February 2007 © Rajesh Rao Nadakuditi, MMVII. All rights reserved. The author hereby grants to MIT and WHOI permission to reproduce and distribute publicly paper and electronic copies of this thesis document in whole or in part. Author : Department of Electrical Engineering and Computer Scie e & the Joint Program in Applied Ocean Science and Engineering " October 6, 2006 Certified by Alan Edelman p;:ofeSSOi1 of plied Mathematics Accepted by . 1\rthJr C. Smith Fadu~te Students Applied Stochastic Eigen-Analysis by Rajesh Rao Nadakuditi Submitted to the Department of Electrical Engineering and Computer Science & the Joint Program in Applied Ocean Science and Engineering on October 6, 2006, in partial fulfillment of the requirements for the degree of Doctor of Philosophy Abstract The first part of the dissertation investigates the application of the theory of large random matrices to high-dimensional inference problems when the samples are drawn from a multivariate normal distribution. A longstanding problem in sensor array pro- cessing is addressed by designing an estimator for the number of signals in white noise that dramatically outperforms that proposed by Wax and Kailath. This methodology is extended to develop new parametric techniques for testing and estimation. -
The Integrals in Gradshteyn and Ryzhik. Part 18: Some Automatic Proofs
SCIENTIA Series A: Mathematical Sciences, Vol. 20 (2011), 93–111 Universidad T´ecnica Federico Santa Mar´ıa Valpara´ıso, Chile ISSN 0716-8446 c Universidad T´ecnica Federico Santa Mar´ıa 2010 The integrals in Gradshteyn and Ryzhik. Part 18: Some automatic proofs Christoph Koutschana and Victor H. Molla Abstract. The evaluation of a selection of entries from the table of integrals by Gradshteyn and Ryzhik is presented using the symbolic software package Holo- nomicFunctions. 1. Introduction The volume [7] is one of the most widely used table of integrals. This work, now in its 7-th edition has been edited and amplified several times. The initial work of the authors I. Gradshteyn and I. M. Ryzhik is now supplemented by entries proposed by a large number of researchers. This paper is part of a project, initiated in [10], with the goal of establishing the validity of these formulas and to place them in context. The previous papers in this project contain evaluation of entries in [7] by traditional analytical methods. Symbolic languages, mostly Mathematica, have so far only been used to check the entries in search for possible errors (e.g., by numerical evaluation). The methodology employed here is different: the computer package HolonomicFunctions is employed to deliver computer-generated proofs of some entries in [7]. The examples are chosen to illustrate the different capabilities of the package. Note that Mathematica (version 7) fails on most of these examples. 2. The class of holonomic functions The computer algebra methods employed here originate in Zeilberger’s holonomic systems approach [3, 8, 12]. -
Arxiv:Math/0501379V1
ON THE NON-HOLONOMIC CHARACTER OF LOGARITHMS, POWERS, AND THE nTH PRIME FUNCTION PHILIPPE FLAJOLET, STEFAN GERHOLD, AND BRUNO SALVY Abstract. We establish that the sequences formed by logarithms and by “fractional” powers of integers, as well as the sequence of prime numbers, are non-holonomic, thereby answering three open problems of Gerhold [El. J. Comb. 11 (2004), R87]. Our proofs depend on basic complex analysis, namely a conjunction of the Structure Theorem for singularities of solutions to linear differential equations and of an Abelian theorem. A brief discussion is offered regarding the scope of singularity-based methods and several naturally occurring sequences are proved to be non-holonomic. Es ist eine Tatsache, daß die genauere Kenntnis des Verhaltens einer analytischen Funktion in der N¨ahe ihrer singul¨aren Stellen eine Quelle von arithmetischen S¨atzen ist.1 — Erich Hecke [25, Kap. VIII] Introduction A sequence (fn)n 0 of complex numbers is said to be holonomic (or P -recursive) if it satisfies a linear≥ recurrence with coefficients that are polynomial in the index n, that is, (1) p0(n)fn+d + p1(n)fn+d 1 + + pd(n)fn =0, n 0, − ··· ≥ for some polynomials p (X) C[X]. A formal power series f(z) = f zn is j ∈ n 0 n holonomic (or ∂-finite) if it satisfies a linear differential equation withP coefficients≥ that are polynomial in the variable z, that is, e e 1 d d − (2) q0(z) e f(z)+ q1(z) e 1 f(z)+ + qe(z)f(z)=0. dz dz − ··· for some polynomials qk(X) C[X]. -
Selected Non-Holonomic Functions in Lattice Statistical Mechanics and Enumerative Combinatorics
Home Search Collections Journals About Contact us My IOPscience Selected non-holonomic functions in lattice statistical mechanics and enumerative combinatorics This content has been downloaded from IOPscience. Please scroll down to see the full text. 2016 J. Phys. A: Math. Theor. 49 074001 (http://iopscience.iop.org/1751-8121/49/7/074001) View the table of contents for this issue, or go to the journal homepage for more Download details: IP Address: 134.157.8.130 This content was downloaded on 17/07/2016 at 16:42 Please note that terms and conditions apply. Journal of Physics A: Mathematical and Theoretical J. Phys. A: Math. Theor. 49 (2016) 074001 (28pp) doi:10.1088/1751-8113/49/7/074001 Selected non-holonomic functions in lattice statistical mechanics and enumerative combinatorics* S Boukraa1 and J-M Maillard2,3 1 LPTHIRM and IAESB, Université de Blida, Algeria 2 LPTMC, UMR 7600 CNRS, Université de Paris 6, Sorbonne Universités, Tour 23, 5ème étage, case 121, 4 Place Jussieu, F-75252 Paris Cedex 05, France E-mail: [email protected] and [email protected] Received 15 October 2015, revised 5 December 2015 Accepted for publication 11 December 2015 Published 8 January 2016 Abstract We recall that the full susceptibility series of the Ising model, modulo powers of the prime 2, reduce to algebraic functions. We also recall the nonlinear polynomial differential equation obtained by Tutte for the generating function of the q-coloured rooted triangulations by vertices, which is known to have algebraic solutions for all the numbers of the form 22cos+ ()jnp , the holonomic status of q = 4 being unclear. -
Fuchsian Holonomic Sequences∗
Fuchsian holonomic sequences∗ JORIS VAN DER HOEVEN CNRS, École polytechnique, Institut Polytechnique de Paris Laboratoire d'informatique de l'École polytechnique (LIX, UMR 7161) 1, rue Honoré d'Estienne d'Orves Bâtiment Alan Turing, CS35003 91120 Palaiseau, France Email: [email protected] Many sequences that arise in combinatorics and the analysis of algorithms turn out to be holonomic (note that some authors prefer the terminology D-finite). In this paper, we study various basic algorithmic problems for such sequences ( fn)n∈ℕ: how to com- pute their asymptotics for large n? How to evaluate fn efficiently for large n and/or large precisions p? How to decide whether fn >0 for all n? n We restrict our study to the case when the generating function f = ∑n∈ℕ fn z sat- isfies a Fuchsian differential equation (often it suffices that the dominant singularities of f be Fuchsian). Even in this special case, some of the above questions are related to long-standing problems in number theory. We will present algorithms that work in many cases and we carefully analyze what kind of oracles or conjectures are needed to tackle the more difficult cases. 1. INTRODUCTION 1.1. Statement of the problems ℕ Let 핂 be a subfield of ℂ. A sequence ( fn)n∈ℕ ∈ ℂ is said to be holonomic over 핂 if it satisfies a difference equation Σs(n) fn+s + ⋅ ⋅ ⋅ +Σ0(n) fn = 0, (1.1) s where Σ=Σs휎 +⋅⋅⋅+Σ0∈핂[n][휎] is a linear difference operator in 휎:n↦n+1 with Σs≠0.